Monday, November 30, 2009

Trust Science

A few general truths to keep in mind in the wake of Climategate.

By John Derbyshire

The ninth commandment is: trust science. By this we mean a true science, based
on objectively established criteria and agreed foundations, with a rational
methodology and mature criteria of proof — not the multitude of pseudo-sciences
which, as we have seen, have marked characteristics which can easily be detected
and exposed. Science, properly defined, is an essential part of civilization. To
be anti-science is not the mark of a civilized human being, or of a friend of
humanity. Given the right safeguards and standards, the progress of science
constitutes our best hope for the future, and anyone who denies this proposition
is an enemy of science.

— Paul Johnson, Enemies of Society (1977)

Well, of course we all do trust science. We trust Bernoulli’s Principle every time we get on a plane; we trust celestial mechanics when we take the kids outside to watch a scheduled lunar eclipse; we trust subatomic physics when we relax with an iPod; we trust the laws of chemistry every time we strike a match; we trust the theories of Special and General Relativity when we consult a GPS gadget; we trust natural selection when we fret about drug-resistant disease strains or pesticide-resistant crop infestations; we trust molecular biology every time we pop a pill. Our trust in science is well-nigh unbounded. We hardly draw a breath without trusting science. Paul Johnson’s injunction would seem to be superfluous.

How odd, then, that some high proportion of readers bristled when reading Johnson’s words — or, very likely, just on seeing my title. Why get heated at being told to do something you have done a hundred times a day, all your life?

This is, of course, in the context of leaked e-mails from the Climate Research Unit at an English university — which is itself in the context of the climate-change panic (née the global-warming panic) that has been promoted by a subset of Western elites for a dozen or more years now. The scientists who generated those e-mails have all been helping to promote the climate-change thesis — the notion that humanity faces some great climatic catastrophe if we don’t radically change the way we use energy.

The normal thing at this point would be for the writer to declare a position on that underlying thesis. Is the earth’s climate changing to humanity’s dire detriment, or isn’t it? If it is, are the changes due to human activity, or aren’t they? In either case, is there anything we can do about it at acceptable cost and without unforeseen harm?

I have to cop out on that. As best I can judge, our planet probably is enjoying a long-term warming trend, though with much local variation and temporary lulls and reversals sometimes lasting for years. The Arctic certainly seems to have been losing ice these past 30 years, for instance (Figure 3 here). That these changes are human-made is not clear to me. The argument that they are rests largely on theories about the overall effect of changing CO2 levels, but those theories themselves are open to reasonable doubt. There is even more doubt about the consequences of any change that might be happening; and even where doubt is minimal, the consequences are counterintuitive. It is generally thought, for example, that an ice-free Arctic will leave Europe colder (by killing the Gulf Stream).

And the science is heavily polluted by politics. The climate-change legions are recruited mainly from the Western Left-intelligentsia, their kitbags stuffed with all the sub-Marxist and ethno-masochist flapdoodle of the modern academy. They hate capitalism, they hate Western civilization, and they hate their own ancestors. The kind of dramatic social engineering implicit in the phrase “combating climate change” is emotionally appealing to them.

Downstream from these ideologues are opportunist politicians (if you’ll pardon a pleonasm), too dimwitted to understand the ideology — let alone the science! — but eager to ride the climate-change wave to power and wealth. These pols find the gimcrack formulas of postmodernist Hesperophobia mighty handy for whipping up support from Bobo academy graduates and aggrieved ethnic groups. They control departments of state, which hand out grants and jobs to ideologically friendly researchers, corrupting the whole scientific process.

Nor is climate-change skepticism free of politics. There are big, rich, powerful interests hostile to the climate-change cult: Big Coal, Big Oil, and the Big BRICs. Given the stakes, it would be astonishing if they did not have their own paid shills in the game. I’d guess that there has been some busy deleting of e-mails these past few days at Mogul corporate HQ and BRIC embassies.

Now, somewhere under that political scrum is a rugby ball of scientific truth. Which side will get possession at last, is beyond my ability to figure. Hence the cop-out. I can, though, point out a number of general truths worth bearing in mind when relating this present flap to the larger business of science. My hope here is to wipe away the scowl you scowled at my title and P. J.’s opening remarks.

1. Settled vs. unsettled science. The examples in my first paragraph up there are all of settled science — theories sufficiently well-tested and robust that we can be confident they model the real world to high accuracy. These theories have no competitors. You can of course always find a contrarian, even on such thoroughly settled topics as heliocentrism or relativity, but no working scientist is losing any sleep over their arguments. Contrarianism in this zone is a social and psychological (occasionally psychiatric) phenomenon, not a scientific one.

Science is a lighted clearing in the forest. Around the well-lit central area exists a penumbra — a ring of more or less shadowed ground. Beyond that is the infinite dark domain of our ignorance. Scientists toil to enlarge the lighted area — the zone of settled science. This is the science Paul Johnson wants us to trust. This is the science that we do trust. In the penumbra, though, there is dimness enough for all kinds of malarkey. This is the preferred playground of ideologues, politicians, and crooks. This is where the climate-change battles are being fought.

2. Trust science, but don’t trust scientists. Scientists are human and subject to the same weaknesses, failings, and fixations as the rest of us. Most science research goes on in the universities of the Western world, where the dominant ideology is the leftist, anti-Western one noted above. Math and science people usually don’t care much about politics. Their subjects are too difficult, demand too much in the way of mental resources, to leave anything over for thinking deeply about politics. They breathe in the atmosphere of the academy, though, and it poisons their blood, the more easily just because they don’t think about it much.

Even without the political pressures of the climate-change game, scientists are often dishonest. The dishonesty occasionally slops over into downright crookedness, but discreet data manipulation is much more common. An important thing to remember here is that practically all of this is done to “improve” results the researcher believes to be true, not to put over something he believes false. (Gregor Mendel, the father of modern genetics, was accused of “improving” his data in this way.) As reprehensible as the behavior of the CRU e-mailers surely was, it tells us nothing about the existence or non-existence of climate change.

Science contains a core magisterium, which we can and do trust. It also contains a hinterland of more or less “open” enquiries, where you need to peer very carefully at the numbers before extending trust — where, indeed, it is wisest to withhold trust altogether until the smoke of battle has cleared. Public funds should likewise be withheld from these areas, though any particular problems arising from climate change should be dealt with if and when they show up.

3. Consensus vs. contrarians. In any region of science there is usually, at any given time, a consensus position and a contrarian position. For theories solid enough to be part of the magisterium, contrarianism is out at the social fringes, as noted. In less settled areas, the contrarians themselves are working scientists, with data they can bring forward to challenge the consensus data. This is certainly the case with climate science. Here, for example, are 31,000 scientists who think that

there is no convincing scientific evidence that human release of carbon dioxide,
methane, or other greenhouse gasses is causing or will, in the foreseeable
future, cause catastrophic heating of the Earth’s atmosphere and disruption of
the Earth’s climate.

The temptation for outsiders is to side with the underdogs, the contrarians. The temptation is especially strong for conservatives, who are suspicious of bossy technocratic elites possessed of esoteric knowledge. We are inclined to think that the shape of our light bulbs, the capacity of our toilet cisterns, and the axle weight of our automobiles should be decided between ourselves and the relevant vendors, on market principles, not dictated to us by bureaucrats.

The temptation should be resisted. Contrarians do indeed sometimes turn out to be right, but that’s not the way to bet. Consensus exists for a reason, and a consensus should put up some spirited resistance to being overthrown.

Newtonian mechanics says that the orbit of Uranus ought to look like this. In fact, it looks like this. Eeek! Newtonian mechanics must be wrong! Actually, no; it’s just that there is a hitherto-unseen planet disturbing the data. A well-established consensus doing useful work should not be blown over by a puff of breath, or by scattered cases of contradictory data. Neptune-style possibilities have to be exhausted. There should be longstanding problems defying explanation. There needs to be a coherent alternative theory available — such as the one Einstein proposed to replace Newtonian mechanics.

Contrarians should be made to fight for their victories. If they fight on fair ground, wielding superior data and arguments, they will win, and become the new consensus. There have been scientific revolutions aplenty, and there will surely be more. Galileo, Kepler, Newton, Lavoisier, Faraday, Darwin, Pasteur, Planck, Einstein, Hubble, and Wegener are not revered for their defense of a consensus. To overthrow a consensus, or force major changes on it, is the dream of every young scientist. Older scientists may settle for tenure, rank, political patronage, and a quiet life, but there will always be younger ones ready to fight from the contrarian corner.

4. Small stakes. Let me deflate that last parallel a little. While the political and financial stakes in the climate-change controversy are huge — power, jobs, money, economic transformation — the scientific stakes are small.

Climate change is not an overarching theory like Newton’s mechanics or Faraday-Maxwell electromagnetism. It’s an interpretation of some data — data fuzzy and uncertain enough to be capable of other interpretations. The intellectual stakes here are small. Dogged defense of the phlogiston theory of combustion post-Lavoisier would make you look like an idiot; dogged defense of one plausible interpretation of iffy climatological data, against another one equally plausible, just makes you look mistaken. It is correspondingly easier on the consciences of researchers.

5. The mills grind slow. You may say: “That’s all very well; but plainly we need some better method for weighing the claims of contrarians against the claims of the consensus.”

Perhaps we do, but I wouldn’t hold your breath waiting for it. It takes nine months to have a baby; there’s no shortcut. Nor is there any way to shorten the process by which scientific truth emerges — a process at least as messy and painful as parturition, and lasting a great deal longer. It took 300 years (Copernicus to Bessel) to resolve the issue of stellar parallax, the last obstacle to the dispositive establishment of heliocentrism.

Paul Johnson is right: We should trust science. We have no other way to find out truths about the natural world, and the successes of science, both epistemic and practical, are tremendous.

That is to speak of science as a magisterium, though: as a core of settled knowledge, of theories — heliocentricity, the circulation of the blood, electromagnetism, natural selection, the Periodic Table, continental drift, cosmic expansion — supported by great masses of evidence, contradicted by none, fruitful in prediction, and without serious competitors.

The mills of science grind slow, too slow for political enthusiasts. They deliver the goods at last, though. And what goods they are! Compare the amenities of our lives now with those of our ancestors 350 years ago before the scientific revolution. Compare, too, the worldwide condominium of shared understandings — the de-tribalization of thought that science has brought about. Time was, not so long ago, that educated people in Beijing, Bombay, Berlin, and Bogotá had different creation myths, different explanations for natural phenomena, different treatments for bodily failings.

Now we all share the same knowledge of the natural world, the same systematic and clear understandings. Those are the accomplishments of science, Western civilization’s great gift to humanity. To turn against science is folly, a lurch back towards superstition, tribalism, and barbarism. For a person of the West to turn against science is also cultural treason, a form of ethno-masochism as shamefully deplorable as the postmodernist rejection of reason and language that has poisoned the faculties of arts and humanities in our universities. “To be anti-science is not the mark of a civilized human being, or of a friend of humanity.” I completely agree.

Peak Oil teooria ehk Nafta6htu

Võtame peak oil teema ka arutluse alla: wiki

Kindlasti peaks tutvuma, milline on elu pärast naftakrahhi:

. . the consequences would be unimaginable. Permanent fuel shortages would tip the world into a generations-long economic depression. Millions would lose their jobs as industry implodes. Farm tractors would be idled for lack of fuel, triggering massive famines. Energy wars would flare. And carless suburbanites would trudge to their nearest big box stores, not to buy Chinese made clothing transported cheaply across the globe, but to scavenge glass and copper wire from abandoned buildings.

. . . when the truth can no longer be obscured, the price will spike, the economy nosedive, and the underpinnings of our civilization will start tumbling like dominos. "The price of houses will collapse. Stock markets will crash. Within a short period, human wealth -- little more than a pile of paper at the best of times, even with the confidence about the future high among traders -- will shrivel." There will be emergency summits, diplomatic initiatives, urgent exploration efforts, but the turmoil will not subside. Thousands of companies will go bankrupt, and millions will be unemployed. "Once affluent cities with street cafés will have queues at soup kitchens and armies of beggars. The crime rate will soar. The earth has always been a dangerous place, but now it will become a tinderbox."

By 2010, predicts Leggett, democracy will be on the run . . . economic hardship will bring out the worst in people. Fascists will rise, feeding on the anger of the newly poor and whipping up support. These new rulers will find the tools of repression -- emergency laws, prison camps, a relaxed attitude toward torture -- already in place, courtesy of the war on terror.

And if that scenario isn't nightmarish enough, Leggett predicts that "Big Oversight Number One" -- climate change -- will be simultaneously making its presence felt "with a vengeance." On the heels of their rapid financial ruin, people "will now watch aghast as their food and water supplies dwindle in the face of a climate going awry." Prolonged droughts will spread, decimating harvests.

Kuidas sellesse teooriasse suhtuda? Ma lugesin teema kohta põhjalikumalt 3-4 aastat tagasi ja järeldasin, et teooria ise tundus enam-vähem pädev, aga suure tõenäosusega minu eluajal 5 miljardit inimest välja ei sure (kuna leitakse uusi naftavälju, jne,). Ainsaks päästerõngaks oleks tehnoloogia, mida hetkel veel ei ole. Viimastel aastatel pole arenguid jälginud, peaks asja üle vaatama :)

Ja veel - mida üldse fossiilkütustest arvata? Mulle tundub, et olenemata CO2 maksudest või misiganes poliitikast, see pumbatakse nagunii maast välja ja kasutatakse ära. Ja kui siis pole uut tehnoloogiat...

Sunday, November 29, 2009

Watts Up With Watts?

Et kliima liiga teaduslikuks ei muutuks ning rohkem meelelahutust otsivale lugejale ka midagi pakkuda, tuleb aegaajalt rääkida ka poliitikast.
Üks hetke aktiivsemaid skeptikuid veebiavarustes peale õlitööstuse palgal oleva nõuniku ja endise börsianalüütiku Mr. McIntryre`le, on Anthoney Watts, kes peab webilehte Wattsupwiththat?
Sellel lehel olev info on kurvalt naljakas kuid üldsusele meelepärane.

Kerge analüüs mehe taustast:

The Denial Machine

The Denial Machine - Nov. 15, 2006

David Archer - Video Lectures

Video Lectures

Chapter 1

Intro

9/30/2009

Chapter 2

Heat and Light
Blackbody Radiation and Quantum Mechanics

10/2
10/5

Chapter 3

Our First Climate Model
The Greenhouse Effect

10/7
10/9

Chapter 4

What Makes a Greenhouse Gas
Greenhouse Gases in the Atmosphere

10/12
10/14

Chapter 5

What Holds the Atmosphere Up
Why It's Colder Aloft

10/16
10/19

Chapter 6

Wind, Currents, and Heat

10/21

Chapter 7

Ice and Water Vapor Feedbacks
Clouds

10/30
11/2

Chapter 8

The Weathering CO2 Thermostat
Lungs of the Carbon Cycle

11/4
11/6

Chapter 9

The Battery of the Biosphere
Coal and Oil
Oil and Methane

11/9
11/11
11/13

Chapter 10

The Carbon Cycle Today
The Long Thaw

11/16
11/18

Chapter 11

The Smoking Gun
The Present in the Bosom of the Past

11/20
11/23

Chapter 12

Six Degrees

10/23

Chapter 13

Hot, Flat, and Crowded

11/25

Climate Modeling

— filed under: ,

Climate modeling is actually 'one' of the ways we come to understand climate on earth. That's because we don't have extra planets that are just like earth to experiment on. Some say that models can be wrong. It's a common mistake people make... the point is not that models 'can' be wrong. The point is models are 'always' wrong, that's because models are not real, they are models. But that does not mean that they are not relevant and useful for understanding how things work. The truth is that if you only use measurements and raw data, you can't even get close to the truth about climate.

Climate Modeling

NASA/GISS Climate Model Estimated Scenarios

Models are important to understand climate.


  1. In science, it is often preferable to do an experiment. But to do an experiment with global climate, we would need more planets just like earth to test. Then we could try different mixes of greenhouse gases in the atmosphere and see what happens. However, since we don't have any extra planets, we need to model the climate: Experiment: Webster, Wiki
  2. The reality is that raw data is terribly misleading when measuring the earths temperature. Many aberrations need to be compensated for. That means that if you want to get a more accurate picture, you need to model the measurements and correct for aberrations. You make a model and test it. And others test it. And you refine it. And you refine it some more. It will never be perfect, and it can always be improved, especially when dealing with complex systems like climate: Model: Webster, Wiki

An Important Point

Many people falsely assume that models are not perfect therefore we don't understand climate. This is a misnomer. Models only help us understand climate in a more reasonable way, they will never be perfect but they do reasonably show us what is happening in the climate of earth.. The actual observations are clear enough at this point that modeling is not required to understand that the earth is warming. We see the ice melting, the sea level rising and other affects such as seasonal shift, prolonged forest fire seasons, regional drought trends also support the observational confirmations.

Simply put:

  1. We know the amount of GHG's mankind has produced quantitatively.
  2. We know that should produce a relatively certain amount of forcing.
  3. We see that things are heating up.

In other words, the anthropogenic signal is strong enough that we are certain this global warming is:

  • Occurring
  • Attributable to the forcings caused by human output of greenhouse gases.
Some are still "under the mistaken impression that concern about global warming is based on climate models, which in reality play little role in our understanding -- our understanding is based mainly on how the Earth responded to changes of boundary conditions in the past and on how it is responding to on-going changes."
- Dr. James Hansen

Climate System Models

General Circulation Models (GCM's)

GCM's are used to understand the forcing systems that influence climate here on earth.

By feeding data into the model simulations, scientists are able to test potentials and evaluate the various influences of the earth climate system.

Just because they are simulations does not mean that they are not useful or accurate. In fact modeling climate is the only way to estimate climate functions with any degree of accuracy.

Modern climate models are more accurate than the instruments in some cases. The models actually help identify measurement problems in the real world. And that 'is very' important, because measuring the global climate is a lot of measuring. The models are so good, they can actually help identify instrumental aberrations that can then be examined and fixed.

What has been learned?

Using the above processes, mistakes and aberrations from measurements are corrected for with models which are tested against the measurements and then refined.

Can climate modeling improve?

Absolutely. Continued investigation and testing of the measurements and the models will help refine the models and the measurements as well. Science is about discovery through testing. The scientific method is very careful and methodical. It is the best and only way to understand our climate.

Is climate modeling science?

http://www.realclimate.org/index.php?p=100

If we did not have climate models...

...it may have taken much longer to realize there was a problem in our atmospheric composition that may be dramatically affecting climate. The models allowed us to see that the temperature was rising when it should have been falling.

The models used are called Global Circulation Models (GCM's). The major forces are fairly well known. So when the global temperature started doing something other than the model, the lead hypothesis was either something is wrong with the model, or something changed in the climate system.

Upon further examination...

...it was found that indeed, human GHG output and aerosols were changing the way our climate system operated. Some effects had a cooling impact, and some had a warming impact. Both combined however still lead to further warming.

Empirical: Modeling v. Observations

An interesting twist in the argument about what can be projected regarding climate, is the idea that we can only accept the empirical. Another way to state this might be 'reality vs. modeling'. It is important to understand the difference between the observations (reality - properly modeled observed data) and the empirical models (generally: capable of being verified in the model).

Empirical:

Definition Source: http://www.merriam-webster.com/dictionary/empirical

  • Main Entry: em·pir·i·cal
  • Pronunciation: \-i-kəl\
  • Variant(s): also em·pir·ic \-ik\
  • Function: adjective
  • Date: 1569

1 : originating in or based on observation or experience <empirical data>
2 : relying on experience or observation alone often without due regard for system and theory empirical basis for the theory>
3 : capable of being verified or disproved by observation or experiment <empirical laws>
4 : of or relating to empiricism

Modeling v. Observations

Some are arguing that we should not look beyond the empirical evidence. This is a serious problem because the it ignores relevant information pertaining to the known feedback mechanisms in the climate system.

There are negative and positive feedback mechanism that are natural and human influenced or caused by industrial output. When weighed together, the overall feedback is indicated positive. This means we are warming. There are currently no known mechanisms that could counter this warming in the relevant literature concerning climate.

As pointed out on this web site, climate models are always wrong. It is important to understand the difference between the observations (reality) and the relevant dynamical models (model capacity verified by testing).

As always, context is key to understanding relevance.

How could relying on models be a problem?

  1. In certain cases, observations are exceeding the modeling. But that is not the whole story. Climate feedback mechanisms such as reduced reflectivity (albedo), Arctic Amplification, changes in oceans and land biology and chemistry, etc. are indicating strong positive bias as global warming progresses. To say we should only believe empirical research is the same as saying: 'I don't believe the physics'. This would be akin to believing the earth is flat. The physics are well known in both cases and easily quantifiable.
  2. The first graph below is an update of Rahmstorf et al., Science 2007, ('Note the comparison is with IPCC TAR projections, but since AR4 projections are within 10% of the TAR models - this makes little difference.' - Gavin Schmidt). Actual sea level rise observations are riding above the upper range of the IPCC model. This is generally because IPCC does not factor in things they can't quantify and thus 'some' relevant reality is factored out (given a zero in the model). Therefore those models can not reach as far as the observations.
  3. The fact that the observations of sea level rise (SLR) and arctic ice extent loss are exceeding the models is an important factor in understanding the difference between modeled expectations, empirical evidence, and empirical evidence plus the known feedback mechanisms. Reasonable expectations must include in context, the models, the evidence and the feedbacks.

Modeling v. Observations - Sea Level Rise:

Sea Level Rise 2009 Copenhagen

Source: http://www.realclimate.org/index.php/archives/2009/07/more-bubkes/

Modeling v. Observations - Arctic Ice:

Arctic September Sea Ice Extent

Source: http://www.ucar.edu/news/releases/2007/seaice.shtml

The fact that the ice is melting faster than established models can currently predict is another example of why we can not just trust modeling. Dynamical modeling, in certain instances, does not include feedbacks that are not understood well enough to be included, thus those relevant mechanisms are given a zero in the model. Therefore those models do not show what is really going on, but rather what is understandable from the limited view of the model.

Climate indicators are pointing toward increases in the estimated rates of change, rather than decreases. Global warming effects are therefore reasonably expected to go faster than the models indicate. Unfortunately some models are lagging behind observations, and will remain so until the maths and physics can catch up.

Although it seems contradictory from a point of view not considerate of all the available science, we need to trust the observations in certain relevant areas where we can see the evidence trends combined with current understanding of the feedback mechanisms. The current understanding is also indicative of their potentials. As long as there is attribution (known cause) and expectation (relative understanding of the feedback mechanisms) we can reasonably state that the indications are reasonably clear.

The science takes into account the cause and effect. Understanding the attribution (cause and effect relationship) is critical to establishing the basis for projections. Understanding the potentials (projections) based on the established science allows for probability to be examined. It is not unreasonable to project ramifications and impacts based on on the combined modeled and empirical data, especially when considered with the feedback mechanisms.

Summary

Since sea level rise is going faster than modeled projections are capable of, it is therefore easy to project that sea level rise will be higher than estimated. Similarly, ice extent loss will go faster than models are able to project from a strictly modeled (capable of being verified in the model) point of view. These are very good examples to show why significant emphasis on reason and common sense is needed in order to understand projections and implications.

Global warming is happening faster than models can predict at this time. This supports the basis that accelerating economic and security challenges, if not appropriately planned for will become less affordable, or likely unaffordable to achieve, unless meaningful action occurs.

The combined empirical observation, feedbacks and models gives a reasonably solid foundation upon which to begin to base policy decisions that will impact outcomes regarding projected changes.

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